References
- Axelrod, R. M. (1997). The complexity of cooperation: Agent-based models of competition and collaboration. Princeton University Press.
- Berger, T. (2001). Agent-based spatial models applied to agriculture: A simulation tool for technology diffusion, resource use changes and policy analysis. Agricultural Economics, 25(2-3), 245-260.
- Boero, R., and Squazzoni, F. (2005). Does empirical embeddedness matter? Methodological issues on agent-based models for analytical social science. Journal of Artificial Societies and Social Simulation, 8(4), 1-6.
- Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences, 99(sup 3), 7280-7287. https://doi.org/10.1073/pnas.082080899
- Brock, W. A., Hommes, C. H., and Wagener, F. O. (2009). More hedging instruments may destabilize markets. Journal of Economic Dynamics & Control, 33(11), Elsevier Science B.V., Amsterdam, 1912-1928. https://doi.org/10.1016/j.jedc.2009.05.004
- Brown, D., and Robinson, D. (2006). Effects of heterogeneity in residential preferences on an agent-based model of urban sprawl. Ecology and Society, 11(1), 1-22. https://doi.org/10.5751/ES-01749-110146
- Carpenter, C., and Sattenspiel, L. (2009). The design and use of an agent-based model to simulate the 1918 influenza epidemic at Norway House, Manitoba. American Journal of Human Biology, 21(3), John Wiley & Sons, Ltd, 290-300. https://doi.org/10.1002/ajhb.20857
- Choi, S.-R. (2007). An analysis on the cause of item trade in online games. Journal of Korea Game Society, 7(4), 125-134.
- Cookson, R. (2005). Evidence-based policy making in health care: What it is and what it isn't. Journal of Health Services Research & Policy, 10(2), 118-121. https://doi.org/10.1258/1355819053559083
- Gainsbury, S. M., Russell, A., Wood, R., Hing, N., & Blaszczynski, A. (2015). How risky is internet gambling? A comparison of subgroups of internet gamblers based on problem gambling status. New Media & Society, 17(6), 861-879. https://doi.org/10.1177/1461444813518185
- Geanakoplos, J., et al. (2012). Getting at systemic risk via an agent-based model of the housing market. The American Economic Review, 102(3), 53-58. https://doi.org/10.1257/aer.102.3.53
- Gilbert, N. (2008). Agent-Based Models. No.153, Sage.
- Griffiths, M. (1999). Internet addiction: Fact or fiction? The Psychologist.
- Hsu, S. H., Wen, M.-H., and Wu, M.-C. (2009). Exploring user experiences as predictors of MMORPG Addiction. Computers & Education, 53(3), 990-999. https://doi.org/10.1016/j.compedu.2009.05.016
- Jang, M., Jeon, S., and Yoo, B. (2017). An empirical study on the effects of regulation in online gaming industry via vector autoregression model. Information Systems Review, 19(1), 123-145. https://doi.org/10.14329/isr.2017.19.1.123
- Kang, J., Ko, Y., and Ko, I. (2009). The impacts of social support and psychological factors on guild members' flow and loyalty in MMORPG. Asia Pacific Journal of Information Systems, 19(3), 69-98.
- Kang, J., Lim, J., and Lee, S. (2007). Dynamic analysis of CRM strategy for online shopping-mall. Information Systems Review, 9(3), 99-132.
- LaPlante, D. A., Schumann, A., LaBrie, R. A., and Shaffer, H. J. (2008). Population trends in internet sports gambling. Computers in Human Behavior, 24(5), 2399-2414. https://doi.org/10.1016/j.chb.2008.02.015
- Lin, H., and Sun, C.-T. (2011). Cash trade in free-to-play online games. Games and Culture, 6(3), 270-287. https://doi.org/10.1177/1555412010364981
- Miller, J. H., and Page, S. E. (2009). Complex adaptive systems: An introduction to computational models of social life. Princeton University Press.
- Poggio, T., et al. (2001). Agent-based models of financial markets: A comparison with experimental markets. MIT Sloan Working Paper, No. 4195-01.
- Schelling, T. C. (1971). Dynamic models of segregation. Journal of Mathematical Sociology, 1(2), 143-186. https://doi.org/10.1080/0022250X.1971.9989794
- Schindler, J. (2013). Autonomous traffic-jam clearance using a frugal adaptive cruise control strategy, procedia-social and behavioral sciences (Elsevier), Conference on Agent-Based Modeling in Transportation Planning and Operations, September 30 - October 2, 2013, Blacksburg, Virginia, US.
- Um, M.-Y., and Kim, T.-U. (2006). A comparative study on players' satisfaction, trust toward game publishers, and roles of community in Korean and Japanese online game markets. Asia Pacific Journal of Information Systems, 16(1), 103-125.
- Williams, C. (2007). Research methods. Journal of Business & Economic Research, 5(3), 65-72.
- Yoo, B., and Jeon, S. (2014). An empirical analysis of the regulation effects on webboard games using VECM. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 9(6), 109-115. https://doi.org/10.16972/APJBVE.9.6.201412.109